ABSTRACT
Congenital human cytomegalovirus (HCMV) infection is the most common mother-to-child transmitted infection in the developed world. Certain aspects of its management remain a challenge. Urinary metabolic profiling is a promising tool for use in pediatric conditions. The aim of this study was to investigate the urinary metabolic profile in HCMV-infected infants and controls during acute care hospitalization. Urine samples were collected from 53 patients at five hospitals participating in the Spanish congenital HCMV registry. Thirty-one cases of HCMV infection and 22 uninfected controls were included. Proton nuclear magnetic resonance (1H-NMR) spectra were obtained using NOESYPR1D pulse sequence. The dataset underwent orthogonal projection on latent structures discriminant analysis to identify candidate variables affecting the urinary metabolome: HCMV infection, type of infection, sex, chronological age, gestational age, type of delivery, twins, and diet. Statistically significant discriminative models were obtained only for HCMV infection (p = 0.03) and chronological age (p < 0.01). No significant differences in the metabolomic profile were found between congenital and postnatal HCMV infection. When the HCMV-infected group was analyzed according to chronological age, a statistically significant model was obtained only in the neonatal group (p = 0.01), with the differentiating metabolites being betaine, glycine, alanine, and dimethylamine. Despite the considerable variation in urinary metabolic profiles in a real-life setting, clinical application of metabolomics to the study of HCMV infection seems feasible.
ABSTRACT
OBJECTIVE: After the introduction of a new protocol based on the early treatment with indomethacin for patent ductus arteriosus, the objective of this study was to assess the safety and efficacy of this new practice in comparison with the safety and efficacy of the conventional treatment in a high-risk population. STUDY DESIGN: We conducted a retrospective cohort study including 154 newborns with an average gestational age of 26.4 weeks (1.37 standard deviation) and an average birth weight of 855 g (201.5 standard deviation). A statistically descriptive analysis was performed with SPSS Statistics Pack version 17.0. RESULTS AND CONCLUSIONS: We did not find any statistically significant differences in the clinical features of the two treatment groups, nor in the main efficacy, morbidity, and mortality results.
